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MemoryMemobase

Memobase

User profile-based long-term memory for LLM applications.

Category
Memory
Pricing
FREEMIUM
Source
Open core
Hosting
Hybrid
Platforms
API
Models
BYO key / model
Verified
Jun 8, 2026

Memobase gives AI apps persistent, per-user memory by distilling conversations into a structured user profile and a chronological event timeline, rather than storing raw transcript embeddings. It exposes Python, Node, and Go SDKs plus a REST API and an MCP server, and is open source (Apache-2.0) with a managed cloud option. Built on FastAPI, Postgres, and Redis for low-latency retrieval.

Capabilities 2

What it actually does — grouped by capability family.

  • MCP server (secondary capability)
  • Agent memory (primary capability)

Pros & cons

  • Distills chats, not raw embeddings
  • Strong temporal-reasoning benchmark
  • Low-latency on FastAPI/Postgres/Redis
  • Python/Node/Go SDKs + MCP server
  • Smaller community than mem0/Zep
  • Profile schema needs upfront design
  • Less production-server tooling than Zep
  • Newer, less battle-tested

Tags

Alternatives to Memobase (4)

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    Memory API that gives any AI agent long-term recall.

    Supermemory is a memory and context engine for AI apps. It ingests documents, chat histories, and connector data (Drive, Gmail, Notion), turns them into a searchable store, and serves relevant context back to agents over a single API. It works with any model and ships an MCP server alongside official SDKs.

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Open Memobase